25
2600:Mathematics(比率: 36.9 %)
| DOI | タイトル | 著者 | ジャーナル | 発行年 | 科研費成果論文 |
|---|---|---|---|---|---|
| 10.1002/jmri.27078 | Artificial Intelligence For Mr Image Reconstruction: An Overview For Clinicians | Lin, Dana J.; Johnson, Patricia M.; Knoll, Florian; Lui, Yvonne W., 0000-0002-9984-9164 | Journal Of Magnetic Resonance Imaging | 2020 | NA |
| 10.1002/mrm.28338 | Advancing Machine Learning For Mr Image Reconstruction With An Open Competition: Overview Of The 2019 Fastmri Challenge | Knoll, Florian, 0000-0001-5357-8656; Murrell, Tullie; Sriram, Anuroop; Yakubova, Nafissa; Zbontar, Jure; Rabbat, Michael; Defazio, Aaron; Muckley, Matthew J., 0000-0002-6525-8817; Sodickson, Daniel K.; Zitnick, C. Lawrence; Recht, Michael P. | Magnetic Resonance In Medicine | 2020 | NA |
| 10.1007/s00211-019-01051-9 | Correcting For Unknown Errors In Sparse High-Dimensional Function Approximation | Adcock, Ben; Bao, Anyi; Brugiapaglia, Simone | Numerische Mathematik | 2019 | NA |
| 10.1007/s40305-019-00287-4 | A Review On Deep Learning In Medical Image Reconstruction | Zhang, Hai-Miao; Dong, Bin, 0000-0003-1295-3362 | Journal Of The Operations Research Society Of China | 2020 | NA |
| 10.1016/j.acha.2017.05.005 | Compressed Sensing With Structured Sparsity And Structured Acquisition | Boyer, Claire; Bigot, Jeremie; Weiss, Pierre | Applied And Computational Harmonic Analysis | 2019 | NA |
| 10.1016/j.acha.2017.05.006 | Compressed Sensing With Local Structure: Uniform Recovery Guarantees For The Sparsity In Levels Class | Li, Chen; Adcock, Ben | Applied And Computational Harmonic Analysis | 2019 | NA |
| 10.1016/j.neunet.2018.08.019 | Optimal Approximation Of Piecewise Smooth Functions Using Deep Relu Neural Networks | Petersen, Philipp, 0000-0003-3566-1020; Voigtlaender, Felix | Neural Networks | 2018 | NA |
| 10.1016/j.zemedi.2018.11.002 | An Overview Of Deep Learning In Medical Imaging Focusing On Mri | Lundervold, Alexander Selvikvag; Lundervold, Arvid | Zeitschrift Fur Medizinische Physik | 2019 | NA |
| 10.1017/s0962492919000059 | Solving Inverse Problems Using Data-Driven Models | Arridge, Simon; Maass, Peter; Oktem, Ozan; Schonlieb, Carola-Bibiane | Acta Numerica | 2019 | NA |
| 10.1073/pnas.1907377117 | On Instabilities Of Deep Learning In Image Reconstruction And The Potential Costs Of Ai | Antun, Vegard; Renna, Francesco; Poon, Clarice; Adcock, Ben; Hansen, Anders C. | Proceedings Of The National Academy Of Sciences | 2020 | NA |
| 10.1088/1361-6420/ab10ca | Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework For Limited Angle Computed Tomography | Bubba, Tatiana A, 0000-0003-0020-9210; Kutyniok, Gitta, 0000-0001-9738-2487; Lassas, Matti, 0000-0003-2043-3156; Marz, Maximilian, 0000-0002-6623-2467; Samek, Wojciech, 0000-0002-6283-3265; Siltanen, Samuli, 0000-0002-5988-5232; Srinivasan, Vignesh | Inverse Problems | 2019 | NA |
| 10.1088/1361-6560/ab6f51 | An Introduction To Deep Learning In Medical Physics: Advantages, Potential, And Challenges | Shen, Chenyang, 0000-0001-6490-6555; Nguyen, Dan, 0000-0002-9590-0655; Zhou, Zhiguo; Jiang, Steve B; Dong, Bin; Jia, Xun | Physics In Medicine & Biology | 2020 | NA |
| 10.1109/jproc.2019.2936204 | Image Reconstruction: From Sparsity To Data-Adaptive Methods And Machine Learning | Ravishankar, Saiprasad, 0000-0002-5792-5827; Ye, Jong Chul, 0000-0001-9763-9609; Fessler, Jeffrey A., 0000-0001-9998-3315 | Proceedings Of The Ieee | 2020 | NA |
| 10.1109/msp.2019.2943645 | Optimization Methods For Magnetic Resonance Image Reconstruction: Key Models And Optimization Algorithms | Fessler, Jeffrey A., 0000-0001-9998-3315 | Ieee Signal Processing Magazine | 2020 | NA |
| 10.1109/msp.2019.2949470 | Plug-And-Play Methods For Magnetic Resonance Imaging: Using Denoisers For Image Recovery | Ahmad, Rizwan; Bouman, Charles A., 0000-0001-8504-0383; Buzzard, Gregery T.; Chan, Stanley, 0000-0001-5876-2073; Liu, Sizhuo; Reehorst, Edward T., 0000-0003-3882-9319; Schniter, Philip, 0000-0003-0939-7545 | Ieee Signal Processing Magazine | 2020 | NA |
| 10.1109/msp.2019.2950433 | Compressed Sensing: From Research To Clinical Practice With Deep Neural Networks: Shortening Scan Times For Magnetic Resonance Imaging | Sandino, Christopher M., 0000-0002-8360-0153; Cheng, Joseph Y., 0000-0002-6559-0473; Chen, Feiyu; Mardani, Morteza, 0000-0002-3788-137X; Pauly, John M., 0000-0001-5918-4172; Vasanawala, Shreyas S. | Ieee Signal Processing Magazine | 2020 | NA |
| 10.1109/msp.2019.2950557 | Deep Magnetic Resonance Image Reconstruction: Inverse Problems Meet Neural Networks | Liang, Dong, 0000-0001-6257-0875; Cheng, Jing; Ke, Ziwen; Ying, Leslie, 0000-0001-9801-1362 | Ieee Signal Processing Magazine | 2020 | NA |
| 10.1109/msp.2019.2950640 | Deep-Learning Methods For Parallel Magnetic Resonance Imaging Reconstruction: A Survey Of The Current Approaches, Trends, And Issues | Knoll, Florian, 0000-0001-5357-8656; Hammernik, Kerstin; Zhang, Chi; Moeller, Steen; Pock, Thomas; Sodickson, Daniel K.; Akcakaya, Mehmet, 0000-0001-6400-7736 | Ieee Signal Processing Magazine | 2020 | NA |
| 10.1109/tci.2019.2948732 | Neumann Networks For Linear Inverse Problems In Imaging | Gilton, Davis, 0000-0001-8675-7693; Ongie, Greg; Willett, Rebecca, 0000-0002-8109-7582 | Ieee Transactions On Computational Imaging | 2020 | NA |
| 10.1109/tit.2017.2788445 | Robustness To Unknown Error In Sparse Regularization | Brugiapaglia, Simone, 0000-0003-1927-8232; Adcock, Ben | Ieee Transactions On Information Theory | 2018 | NA |
| 10.1109/tmi.2018.2887072 | Mr Image Reconstruction Using Deep Density Priors | Tezcan, Kerem C., 0000-0002-9675-0708; Baumgartner, Christian F., 0000-0002-3629-4384; Luechinger, Roger, 0000-0002-7365-0421; Pruessmann, Klaas P., 0000-0003-0009-8362; Konukoglu, Ender | Ieee Transactions On Medical Imaging | 2019 | NA |
| 10.1126/science.aaw4399 | Adversarial Attacks On Medical Machine Learning | Finlayson, Samuel G.; Bowers, John D.; Ito, Joichi; Zittrain, Jonathan L.; Beam, Andrew L.; Kohane, Isaac S. | Science | 2019 | NA |
| 10.1137/18m1165748 | Deep Learning: An Introduction For Applied Mathematicians | Higham, Catherine F.; Higham, Desmond J. | Siam Review | 2019 | NA |
| 10.1142/s0219530518500203 | Deep Learning In High Dimension: Neural Network Expression Rates For Generalized Polynomial Chaos Expansions In Uq | Schwab, Christoph; Zech, Jakob | Analysis And Applications | 2018 | NA |
| 10.1142/s0219530519410021 | Error Bounds For Approximations With Deep Relu Neural Networks In Ws,P Norms | Guhring, Ingo; Kutyniok, Gitta; Petersen, Philipp | Analysis And Applications | 2019 | NA |